2000 character limit reached
A comparative study between linear and nonlinear speech prediction (2203.16962v1)
Published 31 Mar 2022 in cs.SD and eess.AS
Abstract: This paper is focused on nonlinear prediction coding, which consists on the prediction of a speech sample based on a nonlinear combination of previous samples. It is known that in the generation of the glottal pulse, the wave equation does not behave linearly [2], [10], and we model these effects by means of a nonlinear prediction of speech based on a parametric neural network model. This work is centred on the neural net weight's quantization and on the compression gain.